answers
Descriptive Statistics collection, organization, presentation, and summary of data CORRECT
ANSWER Inferential Statistics generalizing from a sample to a population, drawing
conclusions, and making decisions CORRECT ANSWER Categorical/Qualitative Data
consists of values that can be expressed in words
may be coded arbitrarily with the help of numbers, but have categorical meaning CORRECT
ANSWER Numerical/Quantitative Data arises from counting, measuring, or some
mathematical operation CORRECT ANSWER Discrete Data consists of distinct values
CORRECT ANSWER Continuous Data can have any value in an interval CORRECT
ANSWER Ordinal Data numbers depict category
have order or rank
differences between values are not meaningful CORRECT ANSWER Ratio Data not
categorical
numbers have rank
differences between values are meaningful
ratios are meaningful too due to the presence of meaningful zeros CORRECT ANSWER
Nominal Numbers depict category only
no order or rank CORRECT ANSWER Manufacture of Car Categorical CORRECT
ANSWER College Major Categorical CORRECT ANSWER Number of Credits
Discrete CORRECT ANSWER Length of Tv Commerical Continuous
CORRECT ANSWER Number of Peanuts in a can Discrete CORRECT ANSWER
Occupation of mortgage applicant Categorical CORRECT ANSWER Flight time from
London to Chicago Continuous CORRECT ANSWER Interval Data not categorical
numbers have rank
, differences between values or intervals are meaningful
ratios are not meaningful because there is no meaningful zero CORRECT ANSWER Number
of employees in Walmart ratio CORRECT ANSWER Number of merchandise returns on
random Monday at Walmart ratio CORRECT ANSWER Temperature of ice cream in a cooler
interval CORRECT ANSWER Name of cashier at register 3 in Walmart nominal
CORRECT ANSWER Observationa single member of a collection of items, each row
corresponds to an observation CORRECT ANSWER Variable a characteristic of the subject
CORRECT ANSWER data set consists of all values of all the variables for all the
observations we are observing CORRECT ANSWER Bivariate only 2 variables CORRECT
ANSWER Univariate only 1 variable CORRECT ANSWER Multivariate more
than 2 variables CORRECT ANSWER Cross- Sectional different units at the same point of
time CORRECT ANSWER Time-Series one unit at different points of time CORRECT
ANSWER Random Sampling Methods important to make valid statistical references
CORRECT ANSWER Population all the items we are interested in CORRECT ANSWER
Sample a subset of the population that we analyze CORRECT ANSWER Parameter
a population characteristic CORRECT ANSWER Statistic a numerical value
calculated from the sample CORRECT ANSWER Average length of all videos on Netflix
parameter CORRECT ANSWER Proportion of foreign Netflix films parameter
CORRECT ANSWER Proportion of documentaries in random sample of 60 videos
statistic CORRECT ANSWER Average length of 10 movies statistic CORRECT
ANSWER Bias a tendency to over or underestimate a population parameter of interest
CORRECT ANSWER Simple Random Sampling every item in the population has the
same chance of being chosen CORRECT ANSWER Idea behind sampling to arrive at a
sample statistic which will
provide a fair indication of the population parameter of interest CORRECT ANSWER
Systematic Sampling choosing every kth item from a list; e.g.
surveying every tenth student CORRECT ANSWER Stratified Samplingchoosing randomly
within defined strata CORRECT ANSWER Clustered Sampling similar to stratified sampling
with geographical